Soheil Feizi and Furong Huang are collaborating to make AI-driven large language models more consistent, adaptable and secure in high-stakes environments.
In a first of its kind study, they uncovered crucial factors underlying vulnerabilities of web AI agents, highlighting the need for enhanced security measures.
She was recognized for her fundamental contributions to non-Abelian thermodynamics and her exploration of the relationship between quantum chaos and the work fluctuation theorem in non-equilibrium thermodynamics.
The researchers have cracked a mathematical quandary that has stumped scientists for more than 35 years. The resulting 126-page proof and algorithm could help tech companies create more efficient computer and AI chips.
